29 Jan 2018

Full-Time Principal Data Scientist

QuantiplySan Jose, California, United States

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Job Description

About Quantiply

Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply’s Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you.

Job Description

In this role, you will lead a brand new, trend setting Cognitive Intelligence team which is applying Machine learning and AI to solve complex, business critical problems in the financial services industries. This is an area that requires solving the hardest engineering challenges in distributed systems at massive scale. As a real-time transactional intelligence service, our solutions have to be scalable, secure, efficient, and extremely fault-tolerant.

In the larger scope of the role, you will own the design, development, testing and deployment of these Machine Learning and AI services You will draw from your deep and broad technical expertise to mentor engineers, complete hands-on technical work, and provide leadership on complex technical issues. You will manage and be responsible for delivering some of our most strategic technical projects, delivering large scalable systems, designing new software systems at the cutting edge of distributed, machine-learning web-services technology, and have a significant, bottom-line impact on our business and competitive position.

As a manager of software development, you will be part of the larger technical leadership community that forms the backbone of the company, you will play a critical role in the broad business planning, working closely with senior executives, influence our long-term technical and business strategy, help hiring a talented team of engineers, and ultimately enable the engineering team to deliver innovative new solutions rapidly.

This position within the Machine Learning team presents a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology, product, and business. A successful candidate will bring: deep technical and software expertise; strong business acumen and judgment; ability to define visionary, ground breaking products; ability to hire and lead a team; desire to have an industry-wide impact; and an ability to work within a fast moving, startup environment to rapidly deliver services that drive broad business impact.

Qualifications

• Master’s Degree in Computer Science, Engineering, Math or relevant. PhD is a big plus.
• 5+ years software development experience
• At least 2 years’ experience in an engineering management role
• 2+ years distributed systems experience
• 2+ years Machine Learning experience
• Strong knowledge of the mathematical foundations of statistical inference and machine learning, such as, time series analysis, multivariate analysis, clustering, graph analytics, and optimization
• Proficient programming and analytical skills in major machine learning packages, such as, Python, Spark/ML, and TensorFlow
• Experience with Java/Scala is a big plus

How to Apply

Please use the apply button or send your resumes to Hiring@quantiply.com with a brief introduction.

Job Categories: Technology. Job Types: Full-Time. Job Tags: ai, analytics, artificial intelligence, big data, deep learning, financial services, fintech, java, machine learning, ml, python, regtech, reinforcement learning, scala, tensorflow, and unsupervised learning. Salary: 100,000 and above.

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